A system dynamics modeling for urban air pollution: A case study of Tehran, Iran

被引：97
|
作者：
Vafa-Arani, Hamed [1 ]
Jahani, Salman [1 ]
Dashti, Hossein [1 ]
Heydari, Jafar [1 ]
Moazen, Saeed [1 ]
机构：
[1] Univ Tehran, Coll Engn, Sch Ind Engn, Tehran 14174, Iran
来源：
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT | 2014年 / 31卷
关键词：
Urban air pollution; System dynamics modeling; Traffic; Public transportation; Energy fuel and automotive industries; ENERGY-CONSUMPTION; CEMENT INDUSTRY; CO2; EMISSIONS; EXPOSURE; MITIGATION; CHINA; AREA;
D O I：
10.1016/j.trd.2014.05.016
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Development of strategies to control urban air pollution is a complex process involving a wide range of sciences. In this study a system dynamics model is proposed in order to estimate the behavior of parameters affecting air pollution in Tehran. The proposed model includes two subsystems: (1) urban transportation, (2) air polluting industries. In this paper, several policies are proposed to mitigate air pollution. The proposed model is simulated under several scenarios using historical data of transportation and industrial sectors in Tehran. Policies are categorized as: (1) road construction, (2) technology improvement in fuel and automotive industries, (3) traffic control plans, (4) development of public transportation infrastructures. The results show effectiveness of the proposed policies. In this case, technology improvement in fuel and automotive industries and development of public transportation infrastructures are more effective policies in order to reduce air pollution. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：21 / 36
页数：16
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